Federated learning-based cyber threat hunting for APT attack detection in SDN-enabled networks

RESEARCH CREW
20:56 05/09/2022
TIN LIÊN QUAN
Federated learning has become the promising approach for building collaborative intrusion detection systems (IDS) as providing privacy guaranteeing among data holders. Nevertheless, the non-independent and identically distributed (Non-IID) data in real-world scenarios negatively impacts the performance of aggregated models from training client updates. To this end, in this paper, we...